AoI-Energy Tradeoff for Data Collection in UAV-Assisted Wireless Networks

被引:17
作者
Zhang, Xin [1 ]
Chang, Zheng [1 ,2 ]
Hamalainen, Timo [2 ]
Min, Geyong [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
[2] Univ Jyvaskyla, Fac Informat Technol, Jyvaskyla 40014, Finland
[3] Univ Exeter, Dept Comp Sci, Exeter EX4 4QF, England
关键词
Autonomous aerial vehicles; Energy consumption; Data collection; Trajectory; Optimization; Internet of Things; Communication systems; UAV; data collection; age of information; energy consumption; IoT; COMMUNICATION; OPTIMIZATION; ALLOCATION;
D O I
10.1109/TCOMM.2023.3337400
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Unmanned aerial vehicle (UAV)-assisted wireless communication systems are able to provide high-quality services and ubiquitous connectivity for massive Internet of Things (IoT) devices. In this paper, we study the Age of Information (AoI) and energy tradeoff in a system where an employed UAV performs data collection for multiple IoT nodes (INs). Bearing in mind the importance of AoI and energy consumption during the data collection process, we present a multi-objective optimization problem to minimize the AoI and UAV energy consumption. To explore the tradeoff between AoI and energy consumption, we jointly optimize the collection time, the UAV trajectory, and the duration of time slots. Due to the non-convexity of the formulated problem, we divide the main problem into three sub-problems and address them by leveraging successive convex approximation (SCA) and Lagrangian dual methods. Finally, we design a multi-variable fixed algorithm to iteratively solve the three sub-problems. Simulations are carried out to investigate the tradeoff between AoI and UAV energy consumption, revealing that reducing AoI and energy consumption simultaneously is unattainable. Furthermore, the convergence and validity of the proposed algorithm are presented and analyzed.
引用
收藏
页码:1849 / 1861
页数:13
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